Events & Resources

Learning Center
Read through guides, explore resource hubs, and sample our coverage.
Learn More
Events
Register for an upcoming webinar and track which industry events our analysts attend.
Learn More
Podcasts
Listen to our podcast, Behind the Numbers for the latest news and insights.
Learn More

About

Our Story
Learn more about our mission and how EMARKETER came to be.
Learn More
Our Clients
Key decision-makers share why they find EMARKETER so critical.
Learn More
Our People
Take a look into our corporate culture and view our open roles.
Join the Team
Our Methodology
Rigorous proprietary data vetting strips biases and produces superior insights.
Learn More
Newsroom
See our latest press releases, news articles or download our press kit.
Learn More
Contact Us
Speak to a member of our team to learn more about EMARKETER.
Contact Us

Artificial Intelligence

New research shows clusters of AI agents evolve social norms and roles on their own, mimicking human behavior and raising fresh concerns about bias

The FDA pushes aggressive timeline to implement AI-assisted drug reviews: The FDA plans to speed up drug reviews with AI by the end of June, but pharma companies already concerned about the impact of layoffs and recent drug approval delays shouldn’t see it as a silver bullet.

Poor planning, political posturing, and a shift to inference workloads turned China’s state-backed data center spree into a cautionary tale for US hyperscalers.

On today’s podcast episode, we discuss Meta’s capacity to weather the tariff climate, how Meta plans to redefine advertising, and what happens if it is forced to sell Instagram and WhatsApp. Join Senior Director of Podcasts and host Marcus Johnson, Vice President and Principal Analyst Jasmine Enberg, and Senior Analyst Minda Smiley. Listen everywhere and watch on YouTube and Spotify.

Both firms are slashing hundreds of jobs, citing AI efficiencies and market shifts—signaling a future where only the AI-proficient survive.

As OpenAI downshifts profit goals, Microsoft may trade revenues for long-term access, reshaping one of AI’s most powerful partnerships.

Consumers stick with retail brands that reflect their identity, act with integrity, and make them feel good—especially when those brands recognize loyal customers. Perks like early access matter, but tech like AI only resonates when it genuinely makes shopping easier. To keep people engaged, brands should focus on making all customers—from high earners to rural shoppers—feel seen and valued. Here’s how consumers view their favorite brands and how brands can provide more value to loyal customers.

A move to a public benefit structure could drastically cut Microsoft’s profits, signaling a power shift in the alliance that has fueled Azure’s recent growth.

Netflix remains a revenue leader in the streaming space, however tariff concerns and tightening budgets for both consumers and advertisers have increased the pressure across all providers to stand out.

On today’s podcast episode, we discuss why Google is now keeping third-party cookies, who’s most likely to buy Chrome if they have to sell it, and the impact of AI Overviews so far. Join Senior Director of Podcasts and host Marcus Johnson, Senior Director of Briefings Jeremy Goldman, and Principal Analyst Yory Wurmser. Listen everywhere and watch on YouTube and Spotify.

As tariffs put pressure on retail media budgets, advertisers are, in turn, pressuring retail media networks (RMNs) for more sophisticated measurement tools that provide them with richer data across the entire funnel.

By keeping nonprofit control, OpenAI ditches profit-first ambitions and positions itself as the ethical backbone of the AI race

71% of consumers worldwide are interested in AI agents that can answer questions for faster customer service, according to December 2024 data from Salesforce.

Social sharing aims to boost usage, yet without real-time info or buzz, it may struggle to stick

AI agents will likely limit ad opportunities during the consumer journey's consideration stage, but they will allow for more ad opportunities in the awareness stage, our research shows.

Marketers are just starting to familiarize themselves with machine-to-machine (M2M) marketing, where a brand AI agent and a consumer AI agent navigate decision-making. The next step is preparing for this AI-driven method of influencing consumers, by examining how agents “understand” their brands and work to improve those impressions.

Google’s core businesses remain strong in Q1: Browser scrutiny and AI search shifts could test the foundation of its power

A third of US employees who work against their company's generative AI (genAI) strategy do so because they feel the technology diminishes their value or creativity, according to December 2024 data from Writer.

Could OpenAI turn ChatGPT into a shopping hub? The company is reportedly partnering with Shopify in an effort similar to other genAI shopping efforts by Perplexity and Microsoft.

Several weeks ago, Amazon announced Nova Act, an AI model that can search for products, add to cart, and make purchases on someone’s behalf without intervention. As AI agents like Nova Act become more popular, marketers will need to target not only people, but the machines operating on their behalf, using a strategy called machine-to-machine—or M2M—marketing.